MaskBlock: Transferable Adversarial Examples with Bayes Approach. (arXiv:2208.06538v1 [cs.LG])

The transferability of adversarial examples (AEs) across diverse models is of
critical importance for black-box adversarial attacks, where attackers cannot
access the information about black-box models. However, crafted AEs always
present poor transferability. In this paper, by regarding the transferability
of AEs as generalization ability of the model, we reveal that vanilla black-box
attacks craft AEs via solving a maximum likelihood estimation (MLE) problem.
For MLE, the results probably are model-specific local optimum when available
data is small, i.e., limiting …

adversarial lg